Where automated decisions went wrong

EEOC sues iTutorGroup for automated rejection of older tutor applicants

The US Equal Employment Opportunity Commission (EEOC) alleges that tutoring provider iTutorGroup programmed its recruitment software automatically to reject female applicants aged 55 or older and male applicants aged 60 or older. More than 200 qualified US-based applicants were denied work in 2020. The EEOC has filed a lawsuit in the Eastern District of New York seeking back pay and damages.

Company involved

iTutorGroup

10 source articles · read the reporting →

Austrian court lifts ban on AMS job-chance prediction algorithm

The Austrian Federal Administrative Court overturned a ban by the Data Protection Authority on the AMS algorithm, which predicts job chances of unemployed people. The system, trained on historical data including age, gender, and nationality, categorises individuals as high, medium or low chance of re-employment. Critics argue it discriminates against women and mothers, and that the data is now outdated due to the COVID-19 pandemic. The court ruled that the algorithm is lawful as long as a human advisor makes the final decision on training support.

Company involved

Arbeitsmarktservice (AMS)

AI system involved

AMS-Algorithmus

5 source articles · read the reporting →

DWP's Universal Credit algorithm causes underpayment and hardship for claimants

The Department for Work and Pensions (DWP) uses an automated means-testing algorithm in its Universal Credit system that miscalculates earnings due to a design flaw, leading to underpayments and fluctuating benefit amounts. Claimants such as Janet R. received payments hundreds of pounds short, forcing them into debt and foodbank use. A Court of Appeal ruling in June 2020 ordered the DWP to fix the flaw, but the department had not yet fully implemented the remedy at the time of writing.

Company involved

Department for Work and Pensions

AI system involved

Universal Credit

10 source articles · read the reporting →

Deepfake bot submitted 1,001 comments to Idaho Medicaid waiver website

A researcher created a bot that generated and submitted 1,001 deepfake comments to the federal public comment website for the Idaho Medicaid reform waiver in October 2019. The comments were indistinguishable from human submissions, and survey respondents could not tell them apart from real comments. The researcher later withdrew the comments. The study highlights the vulnerability of federal comment processes to automated manipulation.

8 source articles · read the reporting →

Allstate's proposed retention model charged big spenders more in Maryland

Allstate proposed an auto insurance rate adjustment plan in Maryland using a retention model algorithm that varied premium changes based on existing premiums. The algorithm would have increased rates up to 20% for customers already paying the highest premiums while capping increases at 5% for others, and would have denied meaningful discounts to thousands owed reductions. The Maryland Insurance Administration rejected the plan as discriminatory, but Allstate claims it was withdrawn and has continued proposing similar models elsewhere. The proposal never took effect in Maryland.

Company involved

Allstate Corporation

AI system involved

retention model

9 source articles · read the reporting →

Teleperformance plans AI webcam surveillance for home-working staff

Teleperformance, a global call centre company, told some staff it would install AI-powered webcams to monitor home-working infractions such as eating, phone use, or leaving desks. The system would randomly scan for breaches and send alerts to managers. After the Guardian inquired, the company said the remote scans would not be used in the UK, but the plan raised concerns from unions and MPs about invasive surveillance.

Company involved

Teleperformance

10 source articles · read the reporting →

Study finds Italian car insurers charge more based on birthplace

A study by the Universities of Padua, Udine and Carnegie Mellon found that Italian car insurers, including Genertel, Mps, Quixa and Con.Te, use birthplace and citizenship in pricing algorithms, charging some drivers over €1,000 more. The practice was ruled against in a 2018 decree involving Linear, but the study says it continues. The companies contacted denied or explained the findings.

Company involved

Genertel, Mps, Quixa, Con.Te

8 source articles · read the reporting →

India's Aadhaar facial recognition risks excluding millions from vaccines

India's National Health Authority piloted an Aadhaar-based facial recognition system for authentication at COVID-19 vaccination centres, and made Aadhaar the preferred mode of registration. Rights groups and experts warned that millions of vulnerable people, including those without an Aadhaar ID, could be excluded or misidentified and denied vaccines. The system was tested in the eastern state of Jharkhand, with plans for nationwide rollout.

Company involved

National Health Authority

AI system involved

Aadhaar-based facial recognition system

10 source articles · read the reporting →

Google and HCA Healthcare partner to analyze 32 million patient records

Google Cloud has announced a partnership with HCA Healthcare to analyze around 32 million patient records. The anonymized data will be used to develop algorithms that could advise doctors on treatment options. Privacy advocates have raised concerns about the data sharing and the potential for AI to re-identify patients. HCA insists that patient-identifiable information will be stripped and that access will be tightly controlled.

Company involved

HCA Healthcare

AI system involved

Google Cloud

9 source articles · read the reporting →

University of Chicago report finds US healthcare algorithms rife with bias

A University of Chicago report alleges that algorithms used by hospitals, insurers and other businesses across the US are biased along racial and economic lines. The algorithms help triage patients, predict diabetes and flag those needing extra care, but the report says flawed products were introduced with little oversight. It says inequitable treatment has continued for more than a decade.

7 source articles · read the reporting →

Denmark's Udbetaling Danmark welfare algorithm illegally surveilled millions

Udbetaling Danmark (UDK), Denmark's centralized welfare payment agency, used automated algorithms to check eligibility and detect fraud. The system collected personal data on millions of beneficiaries and their relatives, including non-beneficiaries, in what a think-tank called 'systematic surveillance'. A complaint to the Danish Data Protection Authority led to a ruling that the data collection violated GDPR, and UDK eventually deleted the illegally obtained data. The system also caused erroneous payments, including underpaying 300,000 pensioners by 94 million euros annually.

Company involved

Udbetaling Danmark

10 source articles · read the reporting →

UnitedHealthcare sued for using AI to deny Medicare Advantage patients care

A class action complaint alleges that UnitedHealthcare and its subsidiary naviHealth deployed an artificial intelligence model to override treating physicians' determinations of medically necessary care for elderly Medicare Advantage patients. The complaint claims the AI model has a known 90% error rate and wrongfully denied patients care. The lawsuit, filed in the U.S. District Court for the District of Minnesota, seeks damages on behalf of the estates of two deceased patients and all others similarly situated.

Company involved

UnitedHealthcare, Inc.

10 source articles · read the reporting →

UnitedHealth used ALERT algorithm to limit mental health coverage, regulators found

ProPublica reports that UnitedHealth Group's Optum subsidiary used the ALERT algorithm to flag mental health patients and therapists as outliers, leading to therapy coverage denials. Regulators in California, Massachusetts and New York alleged this breached the federal Mental Health Parity and Addiction Equity Act, and UnitedHealth agreed to restrict the system in those jurisdictions. The company denies wrongdoing and says its programmes are compliant. Affected patients, including Medicaid enrollees, were left to pay out-of-pocket or go without care.

Company involved

UnitedHealth Group

AI system involved

ALERT

5 source articles · read the reporting →

NHS liver transplant algorithm causes longer waits for younger patients

An NHS computer algorithm that prioritises liver transplant patients most likely to die soon has led to younger patients waiting 156 days longer on average than those over 60. The algorithm, launched in 2018, gives a score based on 21 recipient and seven donor parameters. Patients like Sarah Meredith, 31, have been waiting two years for a transplant. NHS Blood and Transplant defends the system as saving lives but acknowledges the stress on younger patients.

Company involved

NHS Blood and Transplant

10 source articles · read the reporting →

NHS QCovid algorithm incorrectly labels young patients as high risk, causing vaccine call-up

The article reports that scientists are questioning the reliability of the QCovid risk prediction algorithm used by the NHS to prioritise COVID-19 vaccinations. Due to missing data on weight or ethnicity, the algorithm automatically assigns a high BMI and high-risk ethnicity, leading to young, healthy patients being incorrectly labelled as high risk and called for early vaccination. GPs have identified hundreds of such cases, causing anxiety and potentially delaying vaccinations for more vulnerable individuals. NHS Digital acknowledged the issue and said clinicians can remove patients from the shielding list.

Company involved

NHS

AI system involved

QCovid

10 source articles · read the reporting →

EviCore denied heart catheterization for patient using algorithm

In fall 2021, Little John Cupp's doctor requested a left heart catheterization exam. EviCore, a company hired by UnitedHealthcare, denied the request twice using an algorithm called 'the dial' that adjusts thresholds for review. The algorithm flagged the request for review, and EviCore's doctors determined it was not medically necessary. Cupp did not receive the procedure and his symptoms continued.

Company involved

EviCore (a Cigna company)

AI system involved

the dial

6 source articles · read the reporting →

IRCC uses AI triage for Temporary Resident Visa applications

Immigration, Refugees and Citizenship Canada (IRCC) uses an AI system called Advanced Analytics to triage Temporary Resident Visa applications from India and China. The system categorizes applications into tiers, with Tier 1 approved automatically and others sent to human officers. Critics allege the system lacks transparency and may introduce bias, leading to visa refusals without clear rationale. The author, a Canadian immigration lawyer, is filing Federal Court cases on behalf of clients affected by refusals.

Company involved

Immigration, Refugees and Citizenship Canada (IRCC)

AI system involved

Advanced Analytics Triage of Overseas Temporary Resident Visa Applications

10 source articles · read the reporting →

Humana sued for using AI to deny seniors rehabilitation care

Health insurer Humana is accused in a class-action lawsuit of using an AI algorithm to systematically deny rehabilitation care to Medicare Advantage patients, despite recommendations from their doctors. The lawsuit, filed on December 12, 2023, alleges that the AI tool restricted medically necessary care. This is the second major health insurer to face legal action over its use of AI to deny care.

Company involved

Humana

9 source articles · read the reporting →

Judge rules lawsuit over UnitedHealth’s AI care denials can move forward - STAT

The system denied necessary medical care to Medicare Advantage beneficiaries.

Company involved

UnitedHealth Group

1 source article · read the reporting →

California EDD's automated fraud detection wrongly suspended 600,000 legitimate unemployment claims

In January 2021, the California Employment Development Department used Thompson Reuters automated batch review software to flag 1.1 million unemployment claims as potentially fraudulent. EDD stopped payments on those claims without prior notice. Later, over 600,000 were confirmed as legitimate after claimants used ID.me to verify their identity. The incident highlights the trade-off between fraud prevention and timely benefit access.

Company involved

California Employment Development Department (EDD)

AI system involved

Thompson Reuters Automated Batch Review

7 source articles · read the reporting →

Haryana government's algorithm wrongly declares thousands dead, stops pensions

The Haryana state government's Family Identity Data Repository (PPP) algorithm wrongly declared thousands of elderly and widowed citizens as dead, stopping their pensions. Dhuli Chand, a 102-year-old man, had to stage a mock wedding procession to prove he was alive after his pension was cut for six months. The government acknowledged the errors and corrected some records, but many still face difficulties.

Company involved

Haryana state government

AI system involved

Family Identity Data Repository (Parivar Pehchan Patra or PPP)

6 source articles · read the reporting →

Teleperformance deploys AI to neutralise Indian call centre agents' accents

Teleperformance, the world's largest call centre operator, has announced it is using AI from Sanas to modify the accents of its Indian employees in real time. The technology, called accent translation, aims to make agents sound more neutral to native English speakers. The company invested $13 million in Sanas and gained exclusive rights. No specific incident of harm has been reported.

Company involved

Teleperformance

AI system involved

Sanas AI

6 source articles · read the reporting →

UNOS liver allocation policy reduces transplants in poorer states

The United Network for Organ Sharing (UNOS) implemented a new liver allocation policy in 2020 called the acuity circles system, which prioritizes the sickest patients regardless of location. An analysis by The Markup and The Washington Post found that the policy led to sharp declines in liver transplants in several Southern and Midwestern states and Puerto Rico, while increasing transplants in New York and California. Patients in affected states allege the system disadvantages poorer regions, and hospitals have sued to overturn the policy.

Company involved

United Network for Organ Sharing (UNOS)

AI system involved

Acuity circles liver allocation policy

10 source articles · read the reporting →

Teething problems in Mater Dei's medicine robots addressed

The Malta Union for Midwives and Nurses claimed that a €23 million investment in two computerised drug administration robots, Mario and Sophia, at Mater Dei Hospital had resulted in a complete failure. However, sources within the Health Ministry said that most teething problems have been addressed and that the supplier has not been paid yet. They reported that out of over 1,700 medication rounds, only four required a contingency plan.

Company involved

Mater Dei Hospital

AI system involved

Mario and Sophia

6 source articles · read the reporting →